Symmetric Breast Surgery: Balancing Procedures versus Prophylactic Mastectomy and Immediate Reconstruction
Bibliographic record
Abstract
BACKGROUND: Various techniques for management of the contralateral breast exist in patients with unilateral breast cancer, including contralateral prophylactic mastectomy with immediate breast reconstruction (PMIBR), and symmetrization techniques including augmentation, reduction, or mastopexy. The purpose of this prospective cohort study was to evaluate and compare complications and patient-reported satisfaction of patients with contralateral PMIBR versus having symmetrization procedures. METHODS: A 7-year, single-institution, prospectively maintained database was reviewed. Patient-reported BREAST-Q scores were obtained at baseline, 3 months, and 12 months prospectively. Postoperative complications, oncologic outcomes, and BREAST-Q scores were compared. RESULTS: A total of 249 patients were included, 93 (37%) of whom underwent contralateral PMIBR and 156 (63%) of whom underwent contralateral symmetrization. The patients who underwent PMIBR were younger and had less comorbidities compared with patients with symmetrization. Rates of major and minor complications were similar, apart from higher rates of minor wound dehiscence in the PMIBR group. When comparing mean change at 12-month follow-up to preoperative results, there was a significant decrease in physical well-being of the chest in the symmetrization compared with the PMIBR group (2.94 versus -5.69; P = 0.042). There were no significant differences in mean breast satisfaction and psychosocial well-being, and nonsignificant decreases in sexual well-being between groups. CONCLUSIONS: Patients with unilateral breast cancer who underwent immediate contralateral breast management, with either contralateral PMIBR or symmetrization techniques, demonstrated similar profiles of major complications and good overall satisfaction except for one physical well-being domain. Management of the contralateral breast with symmetrization may provide similar outcomes compared with PMIBR, which often is considered not necessary in patients without specific indications. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, III.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".